Correcting tumour SUV for enhanced bone marrow uptake: retrospective 18F-FDG PET/CT studies

2008 ◽  
Vol 29 (4) ◽  
pp. 359-366 ◽  
Author(s):  
Boon-Keng Teo ◽  
Shiva Badiee ◽  
Mohiuddin Hadi ◽  
Tuwin Lam ◽  
Lauran Johnson ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Fdg Pet ◽  
Bone Marrow Uptake ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct ◽  
Ct Studies

scholarly journals The Diagnostic Value of 18F-FDG PET/CT Bone Marrow Uptake Pattern in Detecting Bone Marrow Involvement in Pediatric Neuroblastoma Patients

2022 ◽  
Vol 2022 ◽  
pp. 1-9
Author(s):  
Jun Liu ◽  
Cuicui Li ◽  
Xu Yang ◽  
Xia Lu ◽  
Mingyu Zhang ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Predictive Value ◽  
Fdg Pet ◽  
Bone Marrow Involvement ◽  
Diagnostic Value ◽  
Bone Marrow Uptake ◽  
Uptake Pattern ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

Objectives. To explore the diagnostic value of 18F-FDG PET/CT bone marrow uptake pattern (BMUP) in detecting bone marrow involvement (BMI) in pediatric neuroblastoma (NB) patients. Methods. Ninety-eight NB patients were enrolled in BMI analysis. Four patterns of bone marrow uptake were categorized based on pretreatment cF-FDG PET/CT images. Some crucial inspection indexes and 18F-FDG PET/CT metabolic parameters were analyzed. The BMUP was divided into BMUP1, BMUP2, BMUP3, and BMUP4. Paired-like homeobox 2b (PHOX2B) of bone marrow and blood, bone marrow biopsy (BMB) result, and 18F-FDG PET/CT were compared to detect BMI. All patients were followed up for at least six months. Results. BMUP had excellent consistency among different physicians. Kappa coefficients of two residents and two attending physicians and between the resident and attending physician, were 0.857, 0.891, and 0.845, respectively. The optimal cut-off value of SUVmax-Bone/Liver was 2.08 to diagnose BMI for BMUP3 patients, and the area under curve (AUC) was 0.873. AUC of PHOX2B of bone marrow (PHOX2B of BM), PHOX2B of blood, BMB, and 18F-FDG PET/CT were 0.916, 0.811, 0.806, and 0.904, respectively. There was no significant difference between PHOX2B of BM and PET/CT. Positive predictive value, negative predictive value, sensitivity, and specificity in diagnosis of BMI were 92.9%, 92.9%, 97.0%, and 83.9% for PET/CT and 96.7%, 80.6%, 89.6%, and 93.5% for PHOX2B of BM, respectively. Conclusions. BMUP of pretreatment 18F-FDG PET/CT is a simple and practical method, which has a relatively high diagnostic efficiency in detecting BMI and might decrease unnecessary invasive inspections in some pediatric NB patients.

scholarly journals Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin’s lymphoma patients staged with FDG-PET/CT

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
May Sadik ◽  
Jesús López-Urdaneta ◽  
Johannes Ulén ◽  
Olof Enqvist ◽  
Armin Krupic ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Bone Marrow ◽  
Fdg Pet ◽  
Test Group ◽  
Observer Agreement ◽  
Hodgkin's Lymphoma ◽  
Bone Marrow Uptake ◽  
Focal Uptake ◽  
Pet Ct ◽  
Fdg Pet Ct

AbstractTo develop an artificial intelligence (AI)-based method for the detection of focal skeleton/bone marrow uptake (BMU) in patients with Hodgkin’s lymphoma (HL) undergoing staging with FDG-PET/CT. The results of the AI in a separate test group were compared to the interpretations of independent physicians. The skeleton and bone marrow were segmented using a convolutional neural network. The training of AI was based on 153 un-treated patients. Bone uptake significantly higher than the mean BMU was marked as abnormal, and an index, based on the total squared abnormal uptake, was computed to identify the focal uptake. Patients with an index above a predefined threshold were interpreted as having focal uptake. As the test group, 48 un-treated patients who had undergone a staging FDG-PET/CT between 2017–2018 with biopsy-proven HL were retrospectively included. Ten physicians classified the 48 cases regarding focal skeleton/BMU. The majority of the physicians agreed with the AI in 39/48 cases (81%) regarding focal skeleton/bone marrow involvement. Inter-observer agreement between the physicians was moderate, Kappa 0.51 (range 0.25–0.80). An AI-based method can be developed to highlight suspicious focal skeleton/BMU in HL patients staged with FDG-PET/CT. Inter-observer agreement regarding focal BMU is moderate among nuclear medicine physicians.

Bone marrow MRI versus 18F-FDG-PET/CT for detecting multiple myeloma lesions: diagnostic performance and clinical relevance

2019 ◽  
Vol 19 (10) ◽  
pp. e35-e36
Author(s):  
Frédéric Lecouvet ◽  
Dimitar Boyadzhiev ◽  
Laurence Collette ◽  
Maude Berckmans ◽  
Nicolas Michoux ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Fdg Pet ◽  
Clinical Relevance ◽  
Diagnostic Performance ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

scholarly journals [18F]FDG-PET/CT Radiomics for Prediction of Bone Marrow Involvement in Mantle Cell Lymphoma: A Retrospective Study in 97 Patients

Cancers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1138 ◽  
Author(s):  
Marius E. Mayerhoefer ◽  
Christopher C. Riedl ◽  
Anita Kumar ◽  
Ahmet Dogan ◽  
Peter Gibbs ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Fdg Pet ◽  
Cell Lymphoma ◽  
Bone Marrow Involvement ◽  
Laboratory Data ◽  
Texture Features ◽  
Pet Ct ◽  
Mantle Cell ◽  
18F Fdg ◽  
Fdg Pet Ct

Biopsy is the standard for assessment of bone marrow involvement in mantle cell lymphoma (MCL). We investigated whether [18F]FDG-PET radiomic texture features can improve prediction of bone marrow involvement in MCL, compared to standardized uptake values (SUV), and whether combination with laboratory data improves results. Ninety-seven MCL patients were retrospectively included. SUVmax, SUVmean, SUVpeak and 16 co-occurrence matrix texture features were extracted from pelvic bones on [18F]FDG-PET/CT. A multi-layer perceptron neural network was used to compare three combinations for prediction of bone marrow involvement—the SUVs, a radiomic signature based on SUVs and texture features, and the radiomic signature combined with laboratory parameters. This step was repeated using two cut-off values for relative bone marrow involvement: REL > 5% (>5% of red/cellular bone marrow); and REL > 10%. Biopsy demonstrated bone marrow involvement in 67/97 patients (69.1%). SUVs, the radiomic signature, and the radiomic signature with laboratory data showed AUCs of up to 0.66, 0.73, and 0.81 for involved vs. uninvolved bone marrow; 0.68, 0.84, and 0.84 for REL ≤ 5% vs. REL > 5%; and 0.69, 0.85, and 0.87 for REL ≤ 10% vs. REL > 10%. In conclusion, [18F]FDG-PET texture features improve SUV-based prediction of bone marrow involvement in MCL. The results may be further improved by combination with laboratory parameters.

scholarly journals Bone Marrow and Tumor Radiomics at 18F-FDG PET/CT: Impact on Outcome Prediction in Non–Small Cell Lung Cancer

Radiology ◽  
2019 ◽  
Vol 293 (2) ◽  
pp. 451-459 ◽  
Author(s):  
Sarah A. Mattonen ◽  
Guido A. Davidzon ◽  
Jalen Benson ◽  
Ann N. C. Leung ◽  
Minal Vasanawala ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Bone Marrow ◽  
Small Cell Lung Cancer ◽  
Fdg Pet ◽  
Outcome Prediction ◽  
Small Cell ◽  
Small Cell Lung ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct
Sign in / Sign up

Export Citation Format

Share Document